| A systematic review of explainable artificial intelligence in terms of different application domains and tasks MR Islam, MU Ahmed, S Barua, S Begum Applied Sciences 12 (3), 1353, 2022 | 238 | 2022 |
| Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—Case Studies MU Ahmed, S Barua, S Begum Signal Processing Techniques for Computational Health Informatics, 261-291, 2021 | 193 | 2021 |
| Automatic driver sleepiness detection using EEG, EOG and contextual information S Barua, MU Ahmed, C Ahlström, S Begum Expert systems with applications 115, 121-135, 2019 | 144 | 2019 |
| A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory A Degas, MR Islam, C Hurter, S Barua, H Rahman, M Poudel, D Ruscio, ... Applied Sciences 12 (3), 1295, 2022 | 86 | 2022 |
| Physiological sensor signals classification for healthcare using sensor data fusion and case-based reasoning S Begum, S Barua, MU Ahmed Sensors 14 (7), 11770-11785, 2014 | 69 | 2014 |
| A review on machine learning algorithms in handling EEG artifacts S Barua, S Begum The Swedish AI Society (SAIS) Workshop SAIS, 14, 22-23 May 2014, Stockholm …, 2014 | 44 | 2014 |
| Classification of physiological signals for wheel loader operators using multi-scale entropy analysis and case-based reasoning S Begum, S Barua, R Filla, MU Ahmed Expert systems with applications 41 (2), 295-305, 2014 | 42 | 2014 |
| Non-contact-based driver’s cognitive load classification using physiological and vehicular parameters H Rahman, MU Ahmed, S Barua, S Begum Biomedical Signal Processing and Control 55, 101634, 2020 | 39 | 2020 |
| A novel mutual information based feature set for drivers’ mental workload evaluation using machine learning MR Islam, S Barua, MU Ahmed, S Begum, P Aricò, G Borghini, ... Brain Sciences 10 (8), 551, 2020 | 37 | 2020 |
| Towards intelligent data analytics: A case study in driver cognitive load classification S Barua, MU Ahmed, S Begum Brain sciences 10 (8), 526, 2020 | 36 | 2020 |
| Classifying drivers' cognitive load using EEG signals S Barua, MU Ahmed, S Begum pHealth 2017, 99-106, 2017 | 32 | 2017 |
| Automated EEG artifact handling with application in driver monitoring S Barua, MU Ahmed, C Ahlstrom, S Begum, P Funk IEEE journal of biomedical and health informatics 22 (5), 1350-1361, 2017 | 30 | 2017 |
| Supervised machine learning algorithms to diagnose stress for vehicle drivers based on physiological sensor signals S Barua, S Begum, MU Ahmed pHealth 2015, 241-248, 2015 | 24 | 2015 |
| A machine learning approach for biomass characterization MU Ahmed, P Andersson, T Andersson, ET Aparicio, H Baaz, S Barua, ... Energy Procedia 158, 1279-1287, 2019 | 23 | 2019 |
| Vision-based driver’s cognitive load classification considering eye movement using machine learning and deep learning H Rahman, MU Ahmed, S Barua, P Funk, S Begum Sensors 21 (23), 8019, 2021 | 22 | 2021 |
| Intelligent driver monitoring based on physiological sensor signals: Application using camera H Rahman, S Barua, B Shahina 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 22 | 2015 |
| Deep learning for automatic EEG feature extraction: an application in drivers’ mental workload classification MR Islam, S Barua, MU Ahmed, S Begum, G Di Flumeri Human Mental Workload: Models and Applications: Third International …, 2019 | 18 | 2019 |
| Data analytics using statistical methods and machine learning: a case study of power transfer units SS Sheuly, S Barua, S Begum, MU Ahmed, E Güclü, M Osbakk The International Journal of Advanced Manufacturing Technology 114, 1859-1870, 2021 | 14 | 2021 |
| Vehicle Driver Monitoring: sleepiness and cognitive load E Nilsson, C Ahlström, S Barua, C Fors, P Lindén, B Svanberg, S Begum, ... Statens väg-och transportforskningsinstitut, 2017 | 14 | 2017 |
| Multivariate data analytics to identify driver’s sleepiness, cognitive load, and stress S Barua Mälardalen University, 2019 | 9 | 2019 |
Shahina BegumProfessor, Artificial IntelligenceVerified email at mdu.se
